publication . Article . 2019

Applying the Computational Intelligence Paradigm to Nuclear Power Plant Operation: A Review (1990-2015).

Tatiana Tambouratzis T., Giannatsis J., Kyriazis A., and Siotropos P.;
Open Access English
  • Published: 16 Dec 2019
Abstract
In the guise of artificial neural networks (ANNs), genetic/evolutionary computation algorithms (GAs/ECAs), fuzzy logic (FL) inference systems (FLIS) and their variants as well as combinations, the computational intelligence (CI) paradigm has been applied to nuclear energy (NE) since the late 1980s as a set of efficient and accurate, non-parametric, robust-to-noise as well as to-missinginformation, non-invasive on-line tools for monitoring, predicting and overall controlling nuclear (power) plant (N(P)P) operation. Since then, the resulting CI-based implementations have afforded increasingly reliable as well as robust performance, demonstrating their potential as...
Read more
doi: 10.4018/ijeoe.2020010102
Funded by
EC| CORTEX
Project
CORTEX
Core monitoring techniques and experimental validation and demonstration
  • Funder: European Commission (EC)
  • Project Code: 754316
  • Funding stream: H2020 | RIA
Download from
ZENODO
Article . 2019
Provider: ZENODO
Powered by OpenAIRE Research Graph
Any information missing or wrong?Report an Issue